Multiclass Suport Class Support Vector Machine for Music Genre Classification
نویسندگان
چکیده
منابع مشابه
Music Genre Classification Using Temporal Information and Support Vector Machine
This paper proposes a novel content-based music genre classification method using temporal information and support vector machine. By processing of texture window statistics and delta computation, temporal information is incorporated to capture the time-varying behavior of music. 7 different temporal evolution descriptors applied in texture window are introduced in this paper, i.e., mean, stand...
متن کاملMulticlass Approaches for Support Vector Machine Based Land Cover Classification
SVMs were initially developed to perform binary classification; though, applications of binary classification are very limited. Most of the practical applications involve multiclass classification, especially in remote sensing land cover classification. A number of methods have been proposed to implement SVMs to produce multiclass classification. A number of methods to generate multiclass SVMs ...
متن کاملMulticlass Least Squares Twin Support Vector Machine for Pattern Classification
This paper proposes a Multiclass Least Squares Twin Support Vector Machine (MLSTSVM) classifier for multi-class classification problems. The formulation of MLSTSVM is obtained by extending the formulation of recently proposed binary Least Squares Twin Support Vector Machine (LSTSVM) classifier. For M-class classification problem, the proposed classifier seeks M-non parallel hyper-planes, one fo...
متن کاملMusic Genre Classification Using Sparsity-Eager Support Vector Machines
Constructing robust categorical and typological classifiers, i.e., finding auditory constructs utilized for describing music categories, is an important problem in music genre classification. Supervised methods such as support vector machine (SVM) achieve state of the art performance for genre classification but suffer from over-fitting on training examples. In this paper, we introduce a superv...
متن کاملAutomatic Music Genre Classification Using Dual Tree Complex Wavelet Transform and Support Vector Machine
A fast and accurate automatic method for music genre classification is needed to manage a huge number of digital music currently available. However this is a non-trivial task because musical genres remain poorly defined concepts due to subjective human perception. In this experimental study, an attempt to combine Dual Tree Complex Wavelet Transform (DTCWT) based feature and Support Vector Machi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/18858-9368